Recognition of Anomalous Object Using Gradient Based Multilevel Thresholding

Analyzing the abnormal region in various medical images is the critical issues because these images contain different types attenuation artifacts. This paper proposes recognition of anomalous object using gradient based multilevel threshold is to change the representation of an image into something that is more meaningful and easier to analyze. There are several methods that intend to perform identification, but it is difficult to adapt easily and identify the object accurately. To resolve this problem, this paper aims to presents an adaptable thresholding technique that can be applied to any type of medical images.